| import json |
| from torch.utils.data import Dataset |
| from PIL import Image |
|
|
| class CustomDataset(Dataset): |
| def __init__(self, json_path, split): |
| self.data = self.load_data(json_path, split) |
| self.split = split |
| |
|
|
| def load_data(self, json_path, split): |
| with open(json_path, 'r', encoding='utf-8') as f: |
| data = json.load(f) |
| return data[split] |
|
|
| def __len__(self): |
| return len(self.data) |
|
|
| def __getitem__(self, idx): |
| item = self.data[idx] |
| image_path = item['image'] |
| image = Image.open(image_path) |
| text = item['text'] |
| return {"image": image, "text": text} |
|
|
